MATH08011 2016 Business Analytics

General Details

Full Title
Business Analytics
Transcript Title
Business Analytics
Code
MATH08011
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
BUS - Business
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2016 - Full Academic Year 2016-17
End Term
9999 - The End of Time
Author(s)
Cillian OMurchu
Programme Membership
SG_BGENE_K08 201600 Bachelor of Business (Honours) in General Stream (Add-on) SG_BHRMS_K08 201600 Bachelor of Business (Honours) in HRM Stream (Add-on) SG_BFINV_K08 201700 Bachelor of Business (Honours) in Finance and Investment Stream(Add-on) SG_BFINA_K08 201600 Bachelor of Business (Honours) in Finance Stream (Add-on) SG_BBUSI_H08 201900 Bachelor of Business (Honours) in Business L8 (Ab-initio)
Description

The module provides an introduction to big data analytics for all business professionals.The module will equip the student with the necessary skills, tools, methods and knowledge to critically analyse data in the specific areas of marketing, human resources, finance, and operations.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Understand the role of business analytics in business

2.

Understand how data is used to describe, explain, and predict customer behavior.

3.

Understand how data is used to make soft-skill decisions about recruiting and talent development.

4.

Understand how data is used to improve existing operations.

5.

Understand how data is used in assessing financial performance and forecasting events

Teaching and Learning Strategies

The student will engage with the content of the module through lectures, tutorials and computer labs.

The student will develop and apply their learning through practical examples and case studies. 

Module Assessment Strategies

Written examination at the end of the semester.

Written examination & project during the semester.

Repeat Assessments

Written Exam

Indicative Syllabus

Applications of Business Analytics to the business world

Customer Analytics

People Analytics

Operation Analytics

Financial Analytics

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Assessment Continuous Assessment Assessment 40 % OnGoing 1,2,3,4,5
             
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Assessment Final Exam Assessment 60 % End of Semester 1,2,3,4,5
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Lecture Computer Laboratory Lecture 1 Weekly 1.00
Tutorial Not Specified Tutorial 1 Weekly 1.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

Required & Recommended Book List

Recommended Reading
2013-12-19 Business Analytics: An Introduction Auerbach Publications
ISBN 1466596090 ISBN-13 9781466596092

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making capabilities of an organization.

Covering the key areas of business analytics, the book explores the concepts, techniques, applications, and emerging trends that professionals across a wide range of industries need to be aware of. Better detection of fraud through visual analytics or better prediction of the likelihood of someone getting an infection while in the hospital are just a few examples of where analytics can play a positive role.

As the field of business analytics continues to emerge rapidly, there is a need for a reliable textbook and reference on the subject. Filling this need, this book is suitable for graduate-level students and undergraduate seniors. It maintains a focus on only the key areas so the material can be covered adequately in a one-semester or one-quarter course. Each chapter includes software-generic exercises, labs, and associated answers to the exercises/labs.

Author Jay Liebowitz recently had an article published in The World Financial Review.

www.worldfinancialreview.com/?p=1904

Recommended Reading
2015-01-09 Business Analytics (2nd Edition) Pearson
ISBN 0321997824 ISBN-13 9780321997821

Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in todays organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.

 

Recommended Reading
2015-08-24 Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data Wiley
ISBN 1119037360 ISBN-13 9781119037361

Make personalized marketing a reality with this practical guide to predictive analytics

Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience.

Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today.

  • Implement predictive marketing at any size organization
  • Deliver a more personalized marketing experience
  • Automate predictive analytics with machine learning technology
  • Base marketing decisions on concrete data rather than unproven ideas

Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.

Recommended Reading
2013-11-09 The Applied Business Analytics Casebook: Applications in Supply Chain Management, Operations Management, and Operations Research (FT Press Analytics) Pearson FT Press
ISBN 0133407365 ISBN-13 9780133407365

The first collection of cases on big data analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading big data experts, the cases in The Applied Business Analytics Casebook covers: 

  • Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing
  • Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization
  • Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making
  • Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

Recommended Reading
2014-07-28 Predictive Analytics for Human Resources (Wiley and SAS Business Series) Wiley
ISBN 1118893670 ISBN-13 9781118893678

Create and run a human resource analytics project with confidence

For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every businessthe vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications.

Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find:

  • A comprehensive guide to developing and implementing a human resource analytics project
  • Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling
  • Explanations of the ten steps required in building an analytics function
  • How to add value through analysis of systems such as staffing, training, and retention

For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

Recommended Reading
2014-01-01 Essentials of Business Analytics South-Western College Pub
ISBN 128518727X ISBN-13 9781285187273

This book provides coverage over the full range of analytics--descriptive, predictive, prescriptive--not covered by any other single book. It includes step-by-step instructions to help students learn how to use Excel and powerful but easy to use Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation.

Module Resources